Every claim on your tech-stack page, sourced.
Stack pages written from job posts and self-reported profiles get called wrong in the comments. TechSpy reads the live footprint instead.
The sentence you publish
Acme runs checkout on Stripe + Adyen.
The signals it's built on
Generate a tech stack brief · See plans
Your scraper hits a React app and gives up.
BuiltWith, Wappalyzer, and homegrown scrapers pull the static HTML. On a Next.js or React SPA, that's a near-empty shell — so the stack page gets written from guesses.
TechSpy fingerprints the JS runtime and HTTP headers too. It sees the stack the way the browser does, after the app renders.
What a scraper sees
// nothing else detected
What TechSpy sees
Framework
Hosting
Payments
Analytics
Auth
One scan out is a brief, not a data dump.
You don't need 1,000 datapoints. You need structure a writer can open and run with.
Every scan comes back grouped by meaning and topped with an opinion:
- Verdict — what the footprint says, in plain language
- Evidence — the grouped signals it's based on, with confidence
- Implications — the angle worth writing
Export it. Sources travel with it.
Verdict
Developer-first commerce platform going global on payments.
Evidence
HighImplications
The angle worth writing: a global-payments teardown, not a generic overview.
Anchor the brief in what the scan proves. Put the opinionated angle on top of that.
Read the sheet, write the angle.
The scan isn't the story. What the scan implies is. This is the table content leads screenshot and send to writers.
Scan a category once. Feed the calendar for a quarter.
This is the part that pays for itself.
Scan every player in a category — save them all. Now those saved scans are a pipeline, not one post:
- Deep Dives on each company
- Comparisons between any two
- Rankings across the whole set
One round of scanning. A quarter of comparison pages, category rankings, and ecosystem SEO.
Saved scans
Deep Dive
Single-company teardown
Comparison
Any two, side by side
Ranking
The whole category, ranked
For teardowns: the stuff no scraper can reach.
When the surface stack isn't enough for a real teardown:
Deep Scan
uses 1 creditHeadless render + HAR trace. Surfaces hidden APIs and SDKs loaded at runtime.
Interact
uses 1 creditAn LLM clicks and fills forms to trigger tools that only load after interaction.
Honest on timing: the static scan returns in seconds. Deep Scan and Interact take minutes and use credits (Plus/Max).
Is this for your team?
Good fit
- You write SaaS, devtools, ecommerce, RevOps, or integration content
- Your audience cares what companies actually run
- You publish teardowns, comparisons, category pages, ecosystem SEO
Not the tool
- Lifestyle, culture, or pure top-of-funnel thought leadership
- Your readers don't care how a product is built
- You just want generic keyword briefs, no technical evidence
When a scan is blocked (Cloudflare, bot wall) or the data's thin, TechSpy marks it Low confidenceor says so outright. It won't invent a stack to look complete.
Turn one scan into your next publishable brief.
Run one free today. No card.
Free
30 scans/day: stack, DNS, sitemap, subdomains, save & compare
Plus $19/mo
10 Deep Scan + 5 Interact credits
Max $49/mo
50 Deep Scan + 25 Interact, Export PDF, Zapier, API
Generate a tech stack brief · View pricing
Free 30/day · Plus $19 · Max $49